1. Introduction
  - Background and significance of personalized e-commerce recommendations
  - Objectives of the project
2. Literature Review
  - Overview of e-commerce recommendation systems
  - State-of-the-art machine learning models for personalized recommendations
3. Data Collection and Preprocessing
  - Data sources and collection methods
  - Data preprocessing techniques
4. Model Selection and Optimization
  - Evaluation of machine learning algorithms
  - Feature engineering and model optimization
5. Implementation and Experimentation
  - Development of personalized recommendation system
  - Experiment design and setup